Energy and utility companies process millions of documents every day—engineering drawings, inspection reports, work orders, compliance filings, and asset documentation.
Manual review slows operations and limits visibility into critical infrastructure data.
LandingAI transforms these documents into verified structured data so teams can automate asset management, compliance, and operational workflows.
Energy and utilities operations span structured invoices, handwritten field reports, engineering schematics, and multi-page regulatory filings; agentic extraction handles all of them without format-specific configuration.

Automating document processing across procurement, compliance, and asset workflows reduces the administrative cycles that hold up permitting decisions, commissioning milestones, and rate approvals.

Every extracted value is grounded to a precise location in the source document, giving compliance teams the audit trail that FERC, NERC, and EPA reporting requirements demand across every submission.

Intelligent document processing across oil and gas operations, electric and gas utilities, renewable energy development, and energy trading is extremely difficult due to the sheer diversity of document types, the inconsistent layouts and the domain expertise required. Then add multiple languages, handwriting, photographs, scans and faxes to the complexity.
Accurate parsing of dense tables that span multiple pages and contain merged cells.
Single pipeline for image, slide, document, and spreadsheet file types with 1000+ pages.
Strong recognition of character-based languages, handwriting, checkboxes, stamps and signatures.
Schema-driven field extraction with visual grounding traceable to the original document.
Extract data fields, reporting metrics, and supporting evidence from FERC rate filings, NERC compliance reports, environmental permits, and environmental impact assessments to support accurate and timely regulatory submissions.
Extract invoice details, purchase order references, and contract rates from vendor invoices, change orders, and service contracts to enforce contracted pricing and accelerate accounts payable cycles.
Extract asset attributes, equipment tags, process dependencies, and maintenance histories from P&ID drawings, as-built drawings, equipment inspection records, and maintenance reports to feed asset management and operational readiness systems.
Agentic Document Extraction enables energy & utilities institutions to automate document-intensive processes that traditionally require manual review.
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
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ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →